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ETD Abstract Container

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Pavement Crack Detection System Through Localized Thresholing

Katakam, Nikhil
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1260820344

Abstract Details

2009, Master of Science in Engineering, University of Toledo, Engineering.
Maintenance of pavements is a very important aspect for the Departments of Transportation in any country. The first step towards maintenance is the identification of faulty pavement areas and their documentation for further action. Many methods have been devised to identify the cracks on pavements apart from the crude process of manual inspection. Image processing, ultrasonic detection and infrared detection have been the most common methods of automated inspection. For the use of images, external factors such as shadows and improper lighting might result in noise. Localized thresholding is implemented by dividing the image into smaller blocks and identifying a local threshold and finding the crack pixels using the threshold of each block. Correlating the intensity and the relative values of the RGB components of the image, the region of interest is obtained from the original image. The image is converted into a black and white image in the end to identify the existing cracks, recreate the lost crack image, identifying the type of cracks based on the orientation of the cracks and thereby rating the pavement accordingly.
Ezzatollah Salari (Advisor)
Mohsin Jamali (Committee Member)
Lawrence Miller (Committee Member)
Computer Science

Recommended Citations

Citations

  • Katakam, N. (2009). Pavement Crack Detection System Through Localized Thresholing [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1260820344

    APA Style (7th edition)

  • Katakam, Nikhil. Pavement Crack Detection System Through Localized Thresholing. 2009. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1260820344.

    MLA Style (8th edition)

  • Katakam, Nikhil. "Pavement Crack Detection System Through Localized Thresholing." Master's thesis, University of Toledo, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1260820344

    Chicago Manual of Style (17th edition)

toledo1260820344
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© 2009, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.